We performed a comparison between Fivetran and IBM InfoSphere DataStage based on real PeerSpot user reviews.
Find out in this report how the two Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The product is very easy to use and very easy to configure."
"The solution is stable. We've never faced any stability issues."
"Making the decision to implement Fivetran was supported by the fact that they have better connectors than other competitors."
"The general data ingestion is valuable. It's used for a lot of data. It provides about 90% of the data we use in our data warehouse without needing data engineering."
"The most valuable feature of Fivetran is that it only synchronizes what needs to be synchronized."
"There's the general feature of the platform where it just makes it very easy to integrate different things, but I would say a specific difference is their integration of DBT,."
"For us, Fivetran has been able to scale both in terms of the data we bring into our warehouse and the amount of data that we use as well."
"The most important feature of the solution is its ability to build data pipelines in less time."
"In IBM DataStage, the Transformer is the most valuable feature for me. It enables me to apply complex transformations, generate the gateway key, and map source tables into the session table."
"The concept of integration is a valuable feature of the product."
"The solution is very easy to use."
"As a data integration platform, it is easy to use. It is quite robust and useful for volumetric analysis when you have huge volumes of data. We have tested it for up to ten million rows, and it is robust enough to process ten million rows internally with its parallel processing. Its error logging mechanism is far simpler and easier to understand than other data integration tools. The newer version of InfoSphere has the data catalog and IDC lineage. They are helpful in the easy traceability of columns and tables."
"Compared to other ETL tools, DataStage has excellent debugging and development capabilities. And the availability of connectors, even though we sometimes have to opt for specific ones. Also, the availability of patches is good."
"It works with multiple servers and offers high availability."
"The Hierarchical Data Stage is good."
"I am impressed with the tool's ETL tracing."
"I would like Fivetran to implement additional resource monitoring and restriction policies."
"I would like for them to incorporate additional transformations. A valuable aspect of the product is that it does inflight transformations and that could be expanded."
"Fivetran should add more connectors because its competitors, like Airbyte, have more connectors."
"We experience cost issues because Fivetran is charged on a usage basis. When you reach a certain level, the tool should focus on reducing the costs. The solution is expensive when you are moving gigabytes and petabytes of data. It should also focus more on REST APIs and webhooks."
"Fivetran would be improved by adding the ability to integrate the data from third-party APIs."
"The customization could improve because Fivetran gives more thought to people who don't want to manage analytics workflows rather than engineers who want to be able to customize pipelines more thoroughly."
"We use a separate tool for "reverse ETL", which is the opposite of what Fivetran does; it pushes data from your data warehouse back out to business applications. If Fivetran pulls data from those same applications, they should also enable users to push it back. I would love to do both ETL and reverse ETL in the same tool."
"Fivetran is very expensive for data sources with a lot of rows, such as email data. I would like to see cheaper pricing for data sources like that."
"In terms of intermediate storage, we have some challenges, especially with customers who store data in intermediate locations."
"Working with some of the big data components is good, but I can see improvements are needed."
"It doesn't have any big data connections. It would be good to have them because most of the systems are moving towards big data. There should also be a user-friendly way to interact with the cloud. Its loading process is very slow. It takes a lot of time for around 5 or 6 million records, and we are not able to provide real-time data to the vendors due to this delay. Its performance needs to be improved. It is also like a legacy system. It is not updated much. In higher versions, they only do small changes. We would like to have new features and new technologies."
"The documentation and in-application help for this solution need to be improved, especially for new features."
"The setup is extremely difficult."
"I want the tool to continue with the on-prem version, not the cloud one."
"The interface needs improvement."
"The solution should be more user-friendly."
Fivetran is ranked 13th in Data Integration with 19 reviews while IBM InfoSphere DataStage is ranked 7th in Data Integration with 37 reviews. Fivetran is rated 8.0, while IBM InfoSphere DataStage is rated 7.8. The top reviewer of Fivetran writes "Solution reduces time-to-value; high ROI". On the other hand, the top reviewer of IBM InfoSphere DataStage writes "User-friendly with a lot of functions for transmission rules, but has slow performance and not suitable for a huge volume of data". Fivetran is most compared with AWS Database Migration Service, Qlik Replicate, Azure Data Factory, Oracle GoldenGate and Informatica Cloud Data Integration, whereas IBM InfoSphere DataStage is most compared with SSIS, IBM Cloud Pak for Data, Azure Data Factory, Talend Open Studio and Informatica PowerCenter. See our Fivetran vs. IBM InfoSphere DataStage report.
See our list of best Data Integration vendors and best Cloud Data Integration vendors.
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